Sensor Placement in District Heating Networks Using Frequency-Domain Gramians

Journal Article (2025)
Author(s)

Max Sibeijn (TU Delft - Team Tamas Keviczky)

Sergio Pequito (Universidade Técnica de Lisboa)

D. Boskos (TU Delft - Team Dimitris Boskos)

M. Khosravi (TU Delft - Team Khosravi)

Research Group
Team Tamas Keviczky
DOI related publication
https://doi.org/10.1109/LCSYS.2025.3580027
More Info
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Publication Year
2025
Language
English
Research Group
Team Tamas Keviczky
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/publishing/publisher-deals Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
9
Pages (from-to)
1634-1639
Reuse Rights

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Abstract

District heating networks (DHNs) are essential in providing efficient heating services to urban areas through networked pipes. The performance of these systems critically depends on the strategic placement of thermal storage buffers (actuators) and temperature sensors throughout the network. Due to the inherent slow dynamics of thermal transport, these systems exhibit significant delays and periodic behaviors that necessitate time-varying analysis approaches. This paper presents a frequency-domain framework for optimal actuator and sensor placement in DHNs, focusing on metrics derived from frequential Gramians. We provide rigorous analysis of two key metrics, namely the trace and log-determinant of the frequential Gramian, establishing submodularity properties and performance guarantees for greedy selection algorithms. Our theoretical framework naturally handles both the periodic nature of DHNs and their slow transients, outperforming standard approaches in estimation accuracy.

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File under embargo until 16-12-2025